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Implementation of models for the controlled introduction of errors in classification datasets. This package contains the noise models described in Saez (2022) <doi:10.3390/math10203736> that allow corrupting class labels, attributes and both simultaneously.
Version: | 1.0.2 |
Depends: | R (≥ 3.5.0) |
Imports: | caret, nnet, e1071, FNN, classInt, ggplot2, ExtDist, lsr, stringr, RColorBrewer, RSNNS, C50 |
Suggests: | knitr, rmarkdown, testthat (≥ 3.0.0) |
Published: | 2022-10-17 |
DOI: | 10.32614/CRAN.package.noisemodel |
Author: | José A. Sáez [aut, cre] |
Maintainer: | José A. Sáez <joseasaezm at ugr.es> |
License: | GPL (≥ 3) |
NeedsCompilation: | no |
Materials: | NEWS |
CRAN checks: | noisemodel results |
Reference manual: | noisemodel.pdf |
Vignettes: |
Introduction to the noisemodel package |
Package source: | noisemodel_1.0.2.tar.gz |
Windows binaries: | r-devel: noisemodel_1.0.2.zip, r-release: noisemodel_1.0.2.zip, r-oldrel: noisemodel_1.0.2.zip |
macOS binaries: | r-release (arm64): noisemodel_1.0.2.tgz, r-oldrel (arm64): noisemodel_1.0.2.tgz, r-release (x86_64): noisemodel_1.0.2.tgz, r-oldrel (x86_64): noisemodel_1.0.2.tgz |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.